Computation of Neutrosophic Soft Topology using Python [PDF]
While other programming languages are either losing ground or stagnant, Python’s popularity is growing. Soft sets lack the ability to eliminate the uncertainties present in conventional approaches, whereas neutrosophic sets are capable of handling ...
J.J. Mershia Rabuni, N. Balamani
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Neutrosophic Soft $\alpha-$Open Set in Neutrosophic Soft Topological Spaces
In this paper, the notion of generalized neutrosophic soft open set (GNSOS) in neutrosophic soft open set (GNSOS) in neutrosophic soft topological structures relative to neutrosophic soft points is introduced.The concept of generalized neutrosophic soft separation axioms in neutrosophic soft topological spaces with respect to soft points.
Arif Mehmood +6 more
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A Note on Neutrosophic Soft Set With Rough Set [PDF]
Abstract Rough set is a very powerful invention to the whole world for dealing with uncertain, incomplete and imprecise problems. Also soft set theory and neutrosophic set theory both are advance mathematical tools to handle these uncertain, incomplete, inconsistent information in a better way. The purpose of this article is to expand the scope
Minakhi Das +2 more
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Certainty of outlier and boundary points processing in data mining
Data certainty is one of the issues in the real-world applications which is caused by unwanted noise in data. Recently, more attentions have been paid to overcome this problem.
Guo, Yanhui +3 more
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A study on neutrosophic soft set and neutrosophic hypersoft set
This paper mainly intends to verify whether the basic laws of set theory apply in the Neutrosophic Soft Set (NSS). The laws examined in this paper for NSS include Commutative law, Associative law, Distributive law, Involution law, Idempotent law, and Negation law (law of contradiction and law of excluded middle).
S, Rajeshwari +2 more
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Neutrosophic Simply Soft Open Set in Neutrosophic Soft Topological Space
In this paper, we introduce the notion of Neutrosophic Simply Soft Open (NSS-O) set, Neutrosophic Simply Soft (NSS) compact set in Neutrosophic Soft Topological Spaces (NS-TS) and investigate several properties of it. Also, we furnish the proofs of some theorems associated with NSS-compact spaces. Then, the notion of neutrosophic simply soft continuous
Suman Das, Surapati Pramanik
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A Convolutional Neural Network model based on Neutrosophy for Noisy Speech Recognition
Convolutional neural networks are sensitive to unknown noisy condition in the test phase and so their performance degrades for the noisy data classification task including noisy speech recognition.
Akbari, Ahmad +2 more
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Iterative Information Granulation for Novelty Detection in Complex Datasets [PDF]
Recognition memory in a number of mammals is usually utilised to identify novel objects that violate model predictions. In humans in particular, the recognition of novel objects is foremost associated to their ability to group objects that are highly ...
Panoutsos, G., Rubio-Solis, A.
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Neutrosophic soft sets and neutrosophic soft matrices based on decision making
Maji\cite{maj-13}, firstly proposed neutrosophic soft sets can handle the indeterminate information and inconsistent information which exists commonly in belief systems. In this paper, we have firstly redefined complement, union and compared our definitions of neutrosophic soft with the definitions given by Maji. Then, we have introduced the concept of
Deli, Irfan, Broumi, Said
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Interval-valued Possibility Quadripartitioned Single Valued Neutrosophic Soft Sets and some uncertainty based measures on them [PDF]
The theory of quadripartitioned single valued neutrosophic sets was proposed very recently as an extension to the existing theory of single valued neutrosophic sets.
Rajashi Chatterjee +2 more
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